{"title":"QoWS Analysis for Web Service Selection Using WS Monitoring Tool","authors":"G. Raj, Dheerendra Singh, Triveni Mishra","doi":"10.1109/CINE.2017.15","DOIUrl":null,"url":null,"abstract":"The focus of this research effort is to build Web Services based on open standards and monitor their requestresponse exchanges with a ASP.NET based application that stores performance information of the calls made to the web services, built in Microsoft Visual Studio for the purpose of generating performance data in the form of QoS quantifying quantities of Successes (similar to throughput), Failures (Total attemptssuccesses*) , Datasize or length and the Time taken (Response Time) measured from the service calls of web services for usage in research efforts for the selection and/or recommendation of these services to Web Service consumers. An approach for web service selection has been suggested as well as implemented using data mining techniques included in the selection algorithm.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINE.2017.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The focus of this research effort is to build Web Services based on open standards and monitor their requestresponse exchanges with a ASP.NET based application that stores performance information of the calls made to the web services, built in Microsoft Visual Studio for the purpose of generating performance data in the form of QoS quantifying quantities of Successes (similar to throughput), Failures (Total attemptssuccesses*) , Datasize or length and the Time taken (Response Time) measured from the service calls of web services for usage in research efforts for the selection and/or recommendation of these services to Web Service consumers. An approach for web service selection has been suggested as well as implemented using data mining techniques included in the selection algorithm.